Convolutional Neural Networks in TensorFlow
Completed by Mohamed Kamel Sayed
July 13, 2019
16 hours (approximately)
Mohamed Kamel Sayed's account is verified. Coursera certifies their successful completion of Convolutional Neural Networks in TensorFlow
What you will learn
Handle real-world image data
Plot loss and accuracy
Explore strategies to prevent overfitting, including augmentation and dropout
Learn transfer learning and how learned features can be extracted from models
Skills you will gain
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Convolutional Neural Networks
- Category: Artificial Neural Networks
- Category: Tensorflow
- Category: Model Optimization
- Category: Machine Learning
